Collecting road conditions with virtual travel

Authors

Presenter(s)

Shani Patel

Comments

12:20-12:40, LTC Studio

Files

Description

The primary objective of this research project is to develop an automated system for collecting road condition images through virtual travel, eliminating the need for vehicle-mounted dashcams. Instead of manual driving, our approach leverages Google Street View within Google Maps to gather visual data. An automated program running on a virtual machine systematically navigates designated routes, retrieving high-resolution images. This method offers key advantages: a virtual machine operates continuously without fatigue, ensuring efficiency and consistency. By automating data collection, we enhance the accuracy and timeliness of road condition assessments, benefiting transportation agencies, urban planners, and researchers focused on infrastructure maintenance and development.

Publication Date

4-23-2025

Project Designation

Independent Research

Primary Advisor

Tam Nguyen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Institutional Learning Goals

Community; Practical Wisdom; Critical Evaluation of Our Times

Recommended Citation

"Collecting road conditions with virtual travel" (2025). Stander Symposium Projects. 3898.
https://ecommons.udayton.edu/stander_posters/3898